Real-Time Data Pipeline for Cryptocurrency Trading Insights

In the fast-paced world of cryptocurrency trading, timely insights can mean the difference between success and missed opportunity. Our startup is committed to empowering traders by developing a state-of-the-art real-time data pipeline. The project involves setting up an end-to-end data architecture utilizing technologies like Apache Kafka for event streaming, Spark for large-scale data processing, and Snowflake as our data warehouse. The goal is to capture, process, and analyze trading data in real-time, providing traders with actionable insights and competitive advantages. The pipeline will also integrate MLOps practices to deploy predictive models that can forecast market trends. This project needs to be executed efficiently within 4-6 weeks, with a focus on ensuring data reliability and observability. We seek experts in data engineering to design, implement, and optimize this pipeline, ensuring scalability and performance as trading volumes grow.